serengil / chefboost

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python
https://www.youtube.com/watch?v=Z93qE5eb6eg&list=PLsS_1RYmYQQHp_xZObt76dpacY543GrJD&index=3
MIT License
456 stars 101 forks source link

split unit tests into many files #39

Closed serengil closed 10 months ago

serengil commented 10 months ago

Resolved with PR - https://github.com/serengil/chefboost/pull/43